Fuzzy Logic Power Control in Cognitive Radio

2009 ◽  
Author(s):  
Zeljko Tabakovic ◽  
Sonja Grgic ◽  
Mislav Grgic
Keyword(s):  
Fuzzy Logic ◽  
Cognitive Radio ◽  
Power Control

Application of Fuzzy Logic Power Control for Cognitive Radio Networks

2012 ◽  
pp. 102-114
Author(s):  
Abbas Mohammed ◽  
Elisabeth Rakus-Andersson ◽  
Wlodek Kulesza
Keyword(s):  
Fuzzy Logic ◽  
Cognitive Radio ◽  
Power Control ◽  
Control Strategy ◽  
Spectrum Sharing ◽  
Channel Gain ◽  
Primary Users ◽  
Optimal Power ◽  
Optimal Power Control ◽  
Input Variables

In this chapter, the authors present the application of fuzzy logic for power control in spectrum sharing cognitive radio network. The investigated network consists of a pair of primary users (PUs) and a pair of cognitive radio users (CRs). In order to compute an optimal power scale for the CR link, a fuzzy-based optimal power control strategy is investigated based on the Mamdani fuzzy control model using two input variables: the PU’s signal-to-noise ratio (SNR) and PU’s interference channel gain (channel gain from the cognitive radio users to primary users). Applying the fuzzy-based optimal power control strategy, the desired quality of service (QoS) is assured on the PU link, and the efficiency of spectrum usage is also maximized on the CR link in the spectrum sharing network. In addition, the bit error rate (BER) is also improved as compared with the spectrum sharing network without power control.

Power Control Scheme for Underlay Approach in Cognitive Radio Networks

2016 ◽  
Author(s):  
Monika Pathak ◽  
Sanjay K. Dhurandher ◽  
Isaac Woungang ◽  
Bhagyashri Tushir ◽  
Vinesh Kumar ◽  
...  
Keyword(s):  
Cognitive Radio ◽  
Power Control ◽  
Cognitive Radio Networks ◽  
Radio Networks ◽  
Control Scheme ◽  
Underlay Approach
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